Survival Analysis for Epidemiologic and Medical Research (Practical Guides to Biostatistics and Epidemiology)

Steve Selvin

ISBN 10: 0521719372 ISBN 13: 9780521719377
Published by Cambridge University Press, 2008
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Survival Analysis for Epidemiologic and Medical Research (Practical Guides to Biostatistics and Epidemiology) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Seller Inventory # 7719-9780521719377

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For readers with a minimal background in statistics, this text shows how to analyze and interpret epidemiological and medical survival data.

About the Author: Steve Selvin is Professor of Biostatistics and Epidemiology at the University of California, Berkeley. He has taught on the Berkeley campus for 35 years and has authored or co-authored more than 200 scientific articles in the areas of applied statistics and epidemiology. He has received two university teaching awards and is a member of the ASPH/Pfizer Public Health Academy of Distinguished Teachers.

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Title: Survival Analysis for Epidemiologic and ...
Publisher: Cambridge University Press
Publication Date: 2008
Binding: Paperback
Condition: Very Good

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Paperback. Condition: New. This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians. Seller Inventory # LU-9780521719377

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